Alliance extension offers enhanced tax data management solutions, paving the way for faster AI deployment

Deloitte Tax LLP and Databricks announced an expanded alliance to modernize data management services for tax departments. While Deloitte is already a market-leading systems integrator for Databricks’ cloud data management solutions, the alliance extension will enable Deloitte Tax to utilize the Databricks Data Intelligence Platform and enhance visibility into enterprise-wide tax data and provide a single source of truth for tax-related information.

Modern data management is foundational for tax departments embarking on their Generative AI journey, serving as the backbone for innovation and agility. By establishing a unified and well-governed data environment, tax teams can drive overall strategy, reduce integration costs, and unlock a wealth of value from historical and real-time data. This robust data foundation empowers tax departments to efficiently meet regulatory reporting requirements, respond to controversy requests, develop forward-looking plans, and become more agile in adapting to evolving business and regulatory demands.

The alliance aims to modernize tax data management with cutting-edge cloud solutions, streamlining operations and enabling the deployment of AI models across tax reporting and interactive analytics dashboards.

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“Deloitte Tax’s expanded alliance with Databricks marks a transformative step in redefining tax data management,” said Carin Giuliante, chair and CEO, Deloitte Tax. “In today’s rapidly evolving business landscape, modernizing tax operations is crucial for meeting our clients’ dynamic needs. By harnessing Databricks’ cutting-edge Data Intelligence Platform, we can deliver scalable, efficient and secure solutions that empower strategic decision-making. This alliance underscores our commitment to innovation and excellence, enabling our clients to be equipped with the tools they need to navigate complex tax environments and drive business success.”

The expanded alliance between Deloitte Tax and Databricks will focus on several key areas, including:

• Unified Tax Data Architecture: Deloitte Tax and Databricks will collaborate to build integrated tax data frameworks that combine information from multiple sources, fostering consistency and reliability across all tax-related activities. This unified architecture simplifies data consolidation and enhances operational efficiency for tax teams.

• Automated Digital Tax Documentation: The alliance will enable the creation of intelligent, automated tax documentation processes, reducing manual intervention and boosting the precision of tax filings and records. This digital approach can strengthen audit preparedness and streamline the management of tax workflows.

• Advanced Solutions for Global Tax Complexity: Through this alliance, Deloitte Tax and Databricks will deliver advanced analytics and modeling capabilities to address intricate tax requirements, such as Pillar Two and other international regulations. These solutions will equip tax departments to proactively manage compliance and adapt to shifting global tax landscapes.

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“As leaders in data and AI, Databricks is committed to transforming how organizations harness their data,” said Bavesh Patel, Databricks SVP, Go To Market & Industry. “Through this alliance with Deloitte Tax, an authority in the tax domain, we’re empowering tax professionals to manage and analyze their data in entirely new ways. This collaboration enhances our current solutions and opens new avenues for innovation, positioning tax departments to stay ahead in an increasingly complex, data-driven world.”

“Deloitte Tax’s participation in the Databricks Alliance marks a significant milestone in our pursuit of excellence in cloud data management,” said Benjamin Barudin, managing director, Deloitte Tax. “By utilizing Databricks’ advanced capabilities, we are not only addressing current challenges but also laying the groundwork for future innovations that will empower our clients to adapt swiftly to evolving tax landscapes and be better positioned for long-term success in a data-driven world.”